Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Conversion Rate Prediction Based on Text Readability Analysis of Landing Pages.

Entropy (Basel, Switzerland)·2021
See all related articles

Related Experiment Video

Updated: Jul 21, 2025

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

10.7K

Hiding Information in Digital Images Using Ant Algorithms.

Mariusz Boryczka1, Grzegorz Kazana2

  • 1Institute of Computer Science, University of Silesia in Katowice, Bedzińska 39, 41-200 Sosnowiec, Poland.

Entropy (Basel, Switzerland)
|July 29, 2023
PubMed
Summary

This study explores using ant algorithms for steganography, a method of hiding data within digital files. The research demonstrates that ant systems effectively embed large amounts of secret data in images with minimal quality loss.

Keywords:
ant algorithmsdigital imagehigh capacitylow distortionsteganography

More Related Videos

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
08:44

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

68.2K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K

Related Experiment Videos

Last Updated: Jul 21, 2025

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
10:14

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

10.7K
Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
08:44

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

68.2K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.5K

Area of Science:

  • Computer Science
  • Information Security
  • Artificial Intelligence

Background:

  • Steganography is crucial for secure communication by hiding data within digital media.
  • Traditional steganographic methods face challenges in balancing data capacity and image distortion.

Purpose of the Study:

  • To investigate the application and effectiveness of ant algorithms in steganography.
  • To optimize steganographic methods for high data capacity and low image distortion.

Main Methods:

  • Utilized ant colony optimization (ACO) for both spatial and frequency-based image steganography.
  • Applied integer wavelet transform and ACO to identify optimal data embedding locations.
  • Employed least-significant-bits (LSB) substitution in complex image regions identified by ACO.

Main Results:

  • Ant algorithms effectively identified optimal locations for data embedding in cover images.
  • The proposed method achieved high data embedding capacity with minimal distortion to image quality.
  • Experimental results demonstrated the effectiveness of ACO in enhancing steganographic robustness.

Conclusions:

  • Ant algorithms offer a promising approach for advanced steganography.
  • The developed method balances high capacity and low distortion, outperforming existing techniques.
  • This research contributes to more secure and efficient data hiding techniques.